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Titlebook: Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques; 7th International Wo Klaus Jansen,Sanjeev Khanna,Da

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樓主: Clinton
21#
發(fā)表于 2025-3-25 07:15:43 | 只看該作者
22#
發(fā)表于 2025-3-25 11:01:14 | 只看該作者
23#
發(fā)表于 2025-3-25 14:49:37 | 只看該作者
24#
發(fā)表于 2025-3-25 19:44:17 | 只看該作者
Polylogarithmic Inapproximability of the Radio Broadcast Problemhs of at most logarithmic radius, an .(log..) additive approximation algorithm is known, hence our lower bound is tight. To the best of our knowledge, this is the first tight additive polylogarithmic approximation result.
25#
發(fā)表于 2025-3-25 20:24:11 | 只看該作者
26#
發(fā)表于 2025-3-26 03:51:12 | 只看該作者
E. M. Coven,J. Madden,Z. Niteckire set-up a priori and network resources are pre-reserved exclusively for carrying rerouted traffic under network failures. (i.e. they do not carry any traffic under normal working conditions). The detours are such that failed links can be bypassed locally from the first node that is upstream from t
27#
發(fā)表于 2025-3-26 05:12:26 | 只看該作者
Topological Dynamics on the Interval,be satisfied. We give an exact algorithm for trees and show how this can be combined with a result of R?cke to give a solution that exceeds edge capacities by at most .(log.. log log.), where . is the number of nodes. On graphs of bounded treewidth, we show the problem is still NP-Hard, but we are a
28#
發(fā)表于 2025-3-26 11:30:09 | 只看該作者
Ergodic Theory and Dynamical Systems IIh agents must be motivated to report their true values for the figures as well as to report the true figures. Moreover, an approximation algorithm should be used for guaranteeing a reasonable solution for the underlying NP-complete problem. We present truthful mechanisms that guarantee a certain fra
29#
發(fā)表于 2025-3-26 15:49:31 | 只看該作者
30#
發(fā)表于 2025-3-26 17:50:37 | 只看該作者
Sarnak’s Conjecture: What’s Newlection of sets . where each set .. is a subset of a given ground set .. In the maximum coverage problem the goal is to pick . sets from . to maximize the cardinality of their union. In the MCG problem . is partitioned into .., .., ..., ... The goal is to pick . sets from . to maximize the cardinali
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